UBASH3A negatively regulates TCR-CD3 complex dynamics and cytokine production. Key findings include:
TCR-CD3 Modulation: UBASH3A limits cell-surface TCR-CD3 expression in resting T cells and accelerates its downregulation post-TCR engagement .
CBL-B Interaction: The SH3 domain of UBASH3A binds CBL-B, an E3 ubiquitin ligase that inhibits T-cell activation, synergizing to suppress IL-2 production .
RA Pathogenesis: In RA CD4⁺ T cells, UBASH3A expression is downregulated due to super-enhancer (SE) dysfunction, promoting IL-6 production .
While primary UBASH3A antibodies are not HRP-conjugated, they are often paired with HRP-labeled secondary antibodies in:
Western Blot (WB): Quantifies UBASH3A protein levels in cell lysates (e.g., Jurkat T cells) .
ELISA: Measures UBASH3A expression in serum or supernatants (e.g., RA patient samples) .
Immunoprecipitation (IP): Identifies UBASH3A’s interaction partners (e.g., CBL-B, dynamin) .
Sample Preparation: Lyse cells in RIPA buffer, resolve proteins via SDS-PAGE.
Transfer and Block: Transfer to PVDF membrane, block with 5% BSA.
Primary Antibody: Incubate with UBASH3A antibody (1:1000–8000) overnight at 4°C.
HRP Secondary Antibody: Use anti-rabbit HRP (1:5000–10,000) for 1 hour at RT.
Detection: Develop with ECL reagent, scan via Typhoon scanner .
Coating: Coat plates with UBASH3A recombinant protein.
Sample Incubation: Add diluted samples (e.g., RA patient serum) and primary antibody.
HRP Secondary Antibody: Apply anti-rabbit HRP-conjugated secondary antibody.
Signal Detection: Use TMB substrate, measure absorbance at 450 nm .
RA: Reduced UBASH3A expression in CD4⁺ T cells correlates with elevated IL-6 production, driven by SE dysfunction and BACH2 recruitment .
T1D: Genetic variants increasing UBASH3A expression reduce IL-2 secretion, highlighting its role in immune tolerance .
CBL-B Binding: UBASH3A’s SH3 domain mediates interaction with CBL-B, enhancing TCR-CD3 downregulation .
Dynamin Sequestration: UBASH3A inhibits endocytosis via SH3 domain-mediated dynamin binding .
Epigenetic Regulation: Further studies are needed to explore how SEs and transcription factors (e.g., BACH2) modulate UBASH3A expression in autoimmune contexts .
Therapeutic Targeting: Developing UBASH3A agonists or antagonists to modulate T-cell activation in autoimmunity or immunotherapy.
HRP-Based Assays: Optimization of HRP-conjugated secondary antibodies for high-throughput UBASH3A detection in clinical samples.
UBASH3A is a multidomain protein containing N-terminal UBA (ubiquitin-associated), SH3 (Src homology 3), and C-terminal histidine phosphatase (PGM) domains. It plays a significant role in T-cell receptor signaling as a negative regulator . The importance of UBASH3A in immunological research stems from its involvement in autoimmune diseases, particularly type 1 diabetes, where disease-associated genetic variants act by increasing UBASH3A expression in human primary T cells, leading to reduced IL-2 production upon TCR stimulation . Understanding UBASH3A function provides critical insights into T-cell activation regulation and autoimmune disease mechanisms, making antibodies against this protein valuable research tools for investigating these pathways.
Based on current research, UBASH3A antibodies have been validated for several experimental applications:
Western Blotting (WB): For detecting UBASH3A protein in cell lysates
Immunohistochemistry on paraffin-embedded sections (IHC-P): For tissue localization studies
Immunocytochemistry/Immunofluorescence (ICC/IF): For cellular localization studies, as demonstrated in human bone marrow erythroleukemia cell lines
Immunoprecipitation (IP): For protein-protein interaction studies as shown in co-immunoprecipitation experiments with CBL-B and other interacting partners
HRP-conjugated UBASH3A antibodies would be particularly useful for Western blotting and ELISA applications where the enzymatic activity of HRP provides signal amplification for enhanced detection sensitivity.
For optimal Western blotting results with HRP-conjugated UBASH3A antibodies:
Sample preparation: Prepare whole-cell lysates using NETN buffer (20 mM Tris-HCl, pH 8.0, 0.6 M NaCl, 0.5% NP-40, and 1 mM EDTA) with protease inhibitors .
Gel electrophoresis: Use NuPAGE Tris-Acetate or Bolt Bis-Tris Plus gels for optimal resolution of UBASH3A (~70 kDa) .
Protein transfer: Transfer to PVDF membranes, which provide better protein retention and signal-to-noise ratio for HRP detection.
Blocking: Block membranes with 5% non-fat dry milk in TBST for 1 hour at room temperature to reduce non-specific binding.
Antibody dilution: Start with a 1:1000 dilution for primary antibody incubation (overnight at 4°C), though optimization may be required based on the specific antibody's titer.
Washing: Perform multiple TBST washes (3-5 times, 5 minutes each) between steps to reduce background.
Detection: Use appropriate chemiluminescent substrates compatible with HRP for signal development. Scanning can be performed using instruments like the Typhoon 9200 laser scanner with quantification using ImageQuant TL software .
Controls: Include positive controls (Jurkat cell lysates) and negative controls (UBASH3A−/− cell lysates) as demonstrated in published research .
UBASH3A contains three key structural domains that influence antibody selection considerations:
When selecting an UBASH3A antibody, consider which domain you want to target based on your research question. For general detection, antibodies targeting recombinant fragments within amino acids 100-350 or 250-400 have been validated . For studying specific interactions or conformational states, domain-specific antibodies may be more appropriate.
Distinguishing between UBASH3A and UBASH3B is crucial for accurate experimental interpretation due to their structural similarities but functional differences:
Antibody specificity: Select antibodies raised against regions with lowest sequence homology between the paralogs. Commercial antibodies such as ab197168 and ab251834 are specifically validated against UBASH3A .
Functional validation: Unlike UBASH3B, UBASH3A exhibits negligible protein tyrosine phosphatase activity at neutral pH . Design functional assays that exploit this difference, such as phosphatase activity measurements.
Expression patterns: UBASH3A and UBASH3B show different tissue and cell-type expression patterns. Validate by qPCR using paralog-specific primers.
Knockout controls: Include UBASH3A−/− cells (generated via CRISPR/Cas9 as described in the literature) as negative controls to confirm antibody specificity .
Molecular weight differences: Although similar, the paralogs may show slight differences in molecular weight or post-translational modification patterns on Western blots.
Immunoprecipitation-mass spectrometry: For definitive identification, immunoprecipitate with paralog-specific antibodies followed by mass spectrometry confirmation of unique peptide sequences.
UBASH3A interaction with CBL-B is physiologically significant for T-cell activation regulation. Here are methods to study this interaction:
Co-immunoprecipitation (Co-IP): The SH3 domain of UBASH3A mediates binding to CBL-B . For Co-IP:
Pre-clear whole-cell lysates from cells expressing both proteins
Immunoprecipitate with anti-UBASH3A antibody (10 μg per 10 mg lysate)
Include UBASH3A−/− lysates as negative controls
HRP-conjugated secondary antibodies provide enhanced sensitivity for detecting co-immunoprecipitated proteins
Proximity Ligation Assay (PLA):
Use specific primary antibodies against UBASH3A and CBL-B
Secondary antibodies with conjugated oligonucleotides enable visualization of protein interactions in situ
HRP-conjugated detection systems can be employed for chromogenic visualization
Domain mapping:
Functional assays:
Assess how manipulating UBASH3A levels affects CBL-B-mediated functions
Monitor T-cell activation markers with flow cytometry
Use HRP-conjugated antibodies for intracellular signaling studies
UBASH3A undergoes several post-translational modifications that influence its function and potentially affect antibody recognition:
Ubiquitination: UBASH3A has four identified ubiquitination sites at lysine residues 15, 202, 309, and 358 . Monoubiquitination at K202 causes conformational changes that prevent UBA domain interaction with substrates.
Detection methods:
Immunoprecipitate UBASH3A and probe with anti-ubiquitin antibodies
HRP-conjugated secondary antibodies provide sensitive detection of ubiquitinated species
Impact on antibody recognition: Antibodies targeting regions near ubiquitination sites may show differential binding to modified versus unmodified UBASH3A. Consider using antibodies raised against epitopes distant from these sites for consistent detection.
Phosphorylation: Although UBASH3A has weak phosphatase activity, it may itself be phosphorylated during T-cell activation.
Detection methods:
Phospho-specific antibodies (if available)
Phosphoprotein staining following gel electrophoresis
Mass spectrometry analysis of immunoprecipitated UBASH3A
Impact on antibody recognition: Phosphorylation can mask epitopes or alter protein conformation, potentially affecting antibody binding. Test antibody reactivity under different cell stimulation conditions.
UBASH3A impacts T-cell receptor regulation through multiple mechanisms. To distinguish between these roles:
TCR-CD3 synthesis regulation:
Cell-surface TCR-CD3 downmodulation:
Interaction with endocytic machinery:
Co-immunoprecipitation studies with dynamin
Dynamin inhibition experiments to assess UBASH3A-dependent effects
Live-cell imaging of fluorescently tagged UBASH3A and endocytic components
Association with ERAD components:
Mass spectrometry analysis of UBASH3A interactome
Co-localization studies using confocal microscopy
Functional assays measuring ER-associated degradation of TCR components
For optimal immunohistochemical and immunocytochemical detection of UBASH3A:
Cell fixation:
Antigen retrieval (for paraffin sections):
Heat-induced epitope retrieval using citrate buffer (pH 6.0)
Optimization may be needed depending on tissue type and fixation duration
Blocking:
Use 5-10% normal serum from the same species as the secondary antibody
Include 0.1-0.3% Triton X-100 for permeabilization if detecting intracellular epitopes
Primary antibody incubation:
HRP detection systems:
For direct HRP-conjugated UBASH3A antibodies: Apply directly after blocking
For indirect detection: Use HRP-conjugated secondary antibodies
Develop with DAB (3,3'-diaminobenzidine) for bright-field microscopy
Amplification systems like tyramide signal amplification (TSA) can enhance sensitivity
Counterstaining:
Hematoxylin for brightfield
DAPI or Hoechst for fluorescence to visualize nuclei
UBASH3A genetic variants have been associated with type 1 diabetes (T1D), with disease-associated variants increasing UBASH3A expression in primary T cells . Researchers can utilize UBASH3A antibodies to:
Expression analysis in patient samples:
Compare UBASH3A protein levels in peripheral blood mononuclear cells (PBMCs) from T1D patients versus healthy controls
Correlate expression with genotype at disease-associated loci
Use Western blotting with HRP-conjugated antibodies for quantitative analysis
Functional studies in disease models:
Histological analysis of pancreatic tissue:
Compare UBASH3A expression in infiltrating T cells in pancreatic islets
Double staining with islet cell markers to study proximity to target cells
Use HRP-conjugated detection systems for sensitive visualization
Mechanistic investigations:
Study UBASH3A interaction with other autoimmunity-associated proteins
Investigate how disease-associated variants affect protein-protein interactions
Analyze post-translational modifications in disease contexts
T-cell subsets exhibit functional heterogeneity that may influence UBASH3A expression and function. Important considerations include:
Subset isolation and purity:
Use magnetic bead isolation or fluorescence-activated cell sorting for high-purity populations
Confirm subset identity with canonical markers (CD4+, CD8+, Tregs, Th1, Th2, etc.)
Include purity checks in experimental documentation
Basal expression analysis:
Compare UBASH3A levels across subsets using:
Western blotting with HRP-conjugated detection systems
Flow cytometry for single-cell resolution
qRT-PCR for transcriptional analysis
Normalize to appropriate housekeeping genes/proteins for each subset
Activation-induced changes:
Monitor UBASH3A expression changes following:
TCR stimulation (anti-CD3/CD28)
Cytokine treatment
Co-stimulatory/inhibitory signals
Establish time courses to capture dynamic responses
Functional readouts:
Subset-specific functions (cytokine production, proliferation, cytotoxicity)
TCR-CD3 downmodulation kinetics
Interaction with subset-specific signaling components
In vivo relevance:
Compare findings in primary cells versus cell lines
Consider tissue-resident versus circulating T-cell populations
Assess relevance to disease-specific T-cell abnormalities
Non-specific binding can complicate UBASH3A detection. Common sources and mitigation strategies include:
Cross-reactivity with related proteins:
Inadequate blocking:
Increase blocking agent concentration (5-10% normal serum or BSA)
Extend blocking time (1-2 hours at room temperature)
Consider alternative blocking agents if background persists
Secondary antibody cross-reactivity:
Use secondary antibodies pre-adsorbed against species present in your samples
Include secondary-only controls in all experiments
For HRP-conjugated primaries, include isotype controls
Sample preparation issues:
Incomplete cell/tissue lysis may cause aggregates that bind antibodies non-specifically
Centrifuge lysates at high speed to remove particulates
Filter samples if necessary
Detection system sensitivity:
HRP can be highly sensitive, potentially amplifying background
Titrate antibody concentrations to find optimal signal-to-noise ratio
Reduce substrate incubation time if background is high
Fixation artifacts:
Overfixation can increase non-specific binding
Optimize fixation times and conditions
Include appropriate antigen retrieval steps
When studying UBASH3A in T-cell activation contexts, several factors can lead to inconsistent results:
Heterogeneous activation states:
Standardize activation protocols (concentration and timing of stimuli)
Use flow cytometry to confirm activation status with markers like CD69
Consider single-cell approaches to account for cellular heterogeneity
Temporal dynamics:
Technical variability in TCR-CD3 downmodulation assays:
Expression level variations:
Compare results between wild-type, knockout, and overexpression systems
Quantify UBASH3A levels in each experimental condition
Normalize functional readouts to expression levels
Experimental system differences:
Jurkat cells versus primary T cells may show different UBASH3A functions
Account for donor variability in primary cell experiments
Consider genetic background when using modified cell lines
| Troubleshooting Factor | Control Strategy | Detection Method |
|---|---|---|
| Activation status | Include activation markers | Flow cytometry |
| Time-dependent effects | Perform detailed time courses | Western blot/flow cytometry |
| Expression level variation | Quantify UBASH3A in each sample | Western blot with HRP detection |
| Cell system differences | Compare cell lines vs. primary cells | Functional assays + protein detection |
| Technical variability | Standard protocols & multiple replicates | Statistical analysis of results |
Emerging technologies enable higher-throughput analysis of UBASH3A in complex biological systems:
Multiplexed immunoassays:
Bead-based platforms (e.g., Luminex) allow simultaneous detection of UBASH3A and interacting partners
Microwestern arrays for analyzing multiple signaling proteins in limited samples
HRP-conjugated antibodies can be used with appropriate detection substrates compatible with multiplexed systems
Mass cytometry (CyTOF):
Metal-tagged UBASH3A antibodies enable single-cell analysis alongside dozens of other markers
Particularly valuable for heterogeneous samples like PBMCs from patients with autoimmune conditions
Allows correlation of UBASH3A levels with cell subset identity and activation status
Single-cell western blotting:
Analyzes UBASH3A expression at single-cell resolution
Captures cell-to-cell variability masked in conventional western blots
HRP detection systems compatible with microfluidic platforms
Tissue microarray analysis:
High-throughput analysis of UBASH3A expression across multiple tissue samples
Particularly valuable for comparative studies of different autoimmune conditions
HRP-based chromogenic or fluorescent detection systems applicable
Automated immunohistochemistry platforms:
Standardized staining protocols ensure reproducibility
High-throughput processing of multiple samples
Digital pathology analysis for quantitative assessment
Understanding the dynamic interactions between UBASH3A and TCR-CD3 requires sophisticated live-cell approaches:
Förster Resonance Energy Transfer (FRET):
Generate fluorescently tagged UBASH3A and CD3 components
Monitor protein-protein interactions in real-time
Requires careful controls to validate proximity vs. direct interaction
Fluorescence Recovery After Photobleaching (FRAP):
Track mobility of fluorescently tagged UBASH3A
Compare dynamics in resting vs. activated T cells
Assess how mutations in functional domains affect mobility
Total Internal Reflection Fluorescence (TIRF) microscopy:
Visualize UBASH3A recruitment to the immunological synapse
Monitor interactions with TCR-CD3 complexes at the plasma membrane
High spatial resolution at the cell-substrate interface
Lattice light-sheet microscopy:
Capture 3D dynamics with minimal phototoxicity
Follow UBASH3A trafficking during T-cell activation
Combine with super-resolution techniques for enhanced detail
Optogenetic approaches:
Use light-inducible dimerization to manipulate UBASH3A localization
Assess functional consequences of forced interactions with TCR-CD3
Combine with live-cell reporters of T-cell activation
Quantitative image analysis:
Track co-localization coefficients over time
Measure recruitment/dissociation kinetics
Correlate with functional readouts of TCR signaling
While these techniques typically use fluorescent proteins or tags rather than HRP-conjugated antibodies, they provide complementary information to biochemical approaches using HRP detection systems.